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spikingjelly

SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.

spikingnn-adversarial-attack

ssl_e2vid

stbp-simple

A simple direct training implement for SNNs using Spatio-Temporal Backpropagation

stbp-train-and-compression

STBP is a way to train SNN with datasets by Backward propagation.Using this Repositories allows you to train SNNS with STBP and quantize SNNS with QAT to deploy to neuromorphological chips like Loihi and Tianjic.

tensorsandbox

My tensorflow sandbox

timm-vis

Visualizer for PyTorch image models

torchdistill

A coding-free framework built on PyTorch for reproducible deep learning studies. 🏆20 knowledge distillation methods presented at CVPR, ICLR, ECCV, NeurIPS, ICCV, etc are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy and benchmark.

torchga

Train PyTorch Models using the Genetic Algorithm with PyGAD

torchsample

High-Level Training, Data Augmentation, and Utilities for Pytorch

tssl-bp

Pytorch implementation of TSSL-BP rule for Deep Spiking Neural Networks.

twostagevae

vita-group.github.io

wastedata-mask_rcnn-multiple-classes

predicting more than 2 classes from publicly available image data, for annotation we are using VGG annotator latest version